OBJECTIVE: : This study aimed to examine the associated factors for dose variation and influence cardiac CT angiography (CCTA) dose benchmarks in current CT imaging centres. METHODS: : A questionnaire was distributed to CT centres across Australia and Saudi Arabia. All participating centres collected data for adults who underwent a CCTA procedure. The questionnaire gathered information about the examination protocol, scanning parameters, patient parameters, and volume CT dose index (CTDI vol) and dose-length product (DLP). A stepwise regression analysis was performed to assess the contribution of tube voltage (kV), padding time technique, cross-sectional area (CSA) of chest and weight to DLP. RESULTS: : A total of 17 CT centres provided data for 423 CCTA examinations. The median CTDIvol, DLP and effective dose were 18 mGy, 256 mGy.cm and 5.2 mSv respectively. There was a statistically significant difference in DLP between retrospective and prospective ECG-gating modes (p = 0.001). Median DLP from CCTA using padding technique was 61% higher than CCTA without padding (p = 0.001). The stepwise regression showed that kV was the most significant predictor of DLP followed by padding technique then CSA while patient weight did not statistically significantly predict DLP. Correlation analysis showed a strong positive correlation between weight and CSA (r = 0.78), and there was a moderate positive correlation between weight and DLP (r = 0.42), as well as CSA and DLP (r = 0.48). CONCLUSION: : Findings show radiation dose variations for CCTA. The associated factors for dose variation found in this study are scanning mode, kV, padding time technique and CSA of the chest. This results support the need to include CSA measurements in future dose survey and for setting DRLs. ADVANCES IN KNOWLEDGE:: The study provides baseline information that helps to understand the associated factors for dose variations and high doses within and between centres performing CCTA.
OBJECTIVE: : This study aimed to examine the associated factors for dose variation and influence cardiac CT angiography (CCTA) dose benchmarks in current CT imaging centres. METHODS: : A questionnaire was distributed to CT centres across Australia and Saudi Arabia. All participating centres collected data for adults who underwent a CCTA procedure. The questionnaire gathered information about the examination protocol, scanning parameters, patient parameters, and volume CT dose index (CTDI vol) and dose-length product (DLP). A stepwise regression analysis was performed to assess the contribution of tube voltage (kV), padding time technique, cross-sectional area (CSA) of chest and weight to DLP. RESULTS: : A total of 17 CT centres provided data for 423 CCTA examinations. The median CTDIvol, DLP and effective dose were 18 mGy, 256 mGy.cm and 5.2 mSv respectively. There was a statistically significant difference in DLP between retrospective and prospective ECG-gating modes (p = 0.001). Median DLP from CCTA using padding technique was 61% higher than CCTA without padding (p = 0.001). The stepwise regression showed that kV was the most significant predictor of DLP followed by padding technique then CSA while patient weight did not statistically significantly predict DLP. Correlation analysis showed a strong positive correlation between weight and CSA (r = 0.78), and there was a moderate positive correlation between weight and DLP (r = 0.42), as well as CSA and DLP (r = 0.48). CONCLUSION: : Findings show radiation dose variations for CCTA. The associated factors for dose variation found in this study are scanning mode, kV, padding time technique and CSA of the chest. This results support the need to include CSA measurements in future dose survey and for setting DRLs. ADVANCES IN KNOWLEDGE:: The study provides baseline information that helps to understand the associated factors for dose variations and high doses within and between centres performing CCTA.
Authors: Suhny Abbara; Philipp Blanke; Christopher D Maroules; Michael Cheezum; Andrew D Choi; B Kelly Han; Mohamed Marwan; Chris Naoum; Bjarne L Norgaard; Ronen Rubinshtein; Paul Schoenhagen; Todd Villines; Jonathon Leipsic Journal: J Cardiovasc Comput Tomogr Date: 2016-10-12
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Authors: Jan Menke; Christina Unterberg-Buchwald; Wieland Staab; Jan Martin Sohns; Ali Seif Amir Hosseini; Alexander Schwarz Journal: Am Heart J Date: 2012-11-26 Impact factor: 4.749